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SceneDreamer
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Project page for SceneDreamer: Unbounded 3D Scene Generation from 2D Image Collections
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SceneDreamer SceneDreamer : Unbounded 3D Scene Generation from 2D Image Collections TPAMI 2023 Zhaoxi Chen Guangcong Wang Ziwei Liu Nanyang Technological University Paper Video Code Demo TL;DR: SceneDreamer learns to generate unbounded 3D scenes from in-the-wild 2D image collections. Our method can synthesize diverse landscapes across different styles, with 3D consistency, well-defined depth, and free camera trajectory. Abstract In this work, we present SceneDreamer , an unconditional generative model for unbounded 3D scenes, which synthesizes large-scale 3D landscapes from random noises. Our framework is learned from in-the-wild 2D image collections only, without any 3D annotations. At the core of SceneDreamer is a principled learning paradigm comprising 1) an efficient yet expressive 3D sc...
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